Tutorial of LinkIt 7697 IoT dev board, including Arduino IDE setup, BlocklyDuino GUI, Mediatel Cloud Sandbox and how to interact throught BLE (App Inventor).
LinkIt 7697物聯網開發板教學,包含Arduino IDE、BlocklyDuino圖形化介面、MCS雲服務以及使用 App Inventor 進行 BLE 互動.
Power by CAVEDU Education http://www.cavedu.com;
App Inventor TW http://www.appinventor.tw
SDN x Cloud Native Meetup #38
介紹 VSCode Remote Development 工具,示範如何透過 VSCode Development Container 來打造跨語言的容器式開發環境,包括 Java、Python、Node.js、Go 等程式語言都能夠使用此方式來開發系統,並且一個專案一個容器,不會污染本機環境,可以安心地執行程式開發工作。
專題的動機來自於: 教室無空氣通風換氣設計,儘管老師很努力教學,可能因為同學人數眾多,CO2濃度過高,造成學習成效打折,因此希望有便宜的偵測裝置,來提醒老師和同學開門窗,解決非智力和意志力的障礙。
The main target is to use Embeded uC to do analog input Voltage conversion to digital value (may include linearization and temperature compensation) and then send out digital CO2 concentration value through Bluetooth/Wifi module (using UART) to Raspberry Pi2 board.
Since PM2.5 sensor and LPG sensors are also easy to be integrated into the same CO2 detector, so they were also adopted for extended values of this detector. To save power, PM2.5 detector could be designed to use very small power by using duty cycle control, and this happen to add a little bit more complexity on the practice of programming the Cortex-M.
嵌入式智慧應用開源軟硬整合新趨勢 (Open Source Software and Hardware Integration Trend for Emb...William Liang
本投影片闡述智慧應用的發展趨勢及開放源碼與開放平台扮演的角色與重要性。
發表於:嵌入式智慧應用開源軟硬整合新趨勢 (Open Source Software and Hardware Integration Trend for Embedded Smart Applications), in Intel 2015 嵌入式應用論壇, hosted by Digitimes@台北維多麗亞酒店大宴會廳 on 2015/03/24.
The presentation to introduce the Hands-on workshop we ran at Elektor Live! A chance for everyone to experiment with all sorts of interesting hardware.
LAS16-112: mbed OS Technical Overview
Speakers: Sam Grove
Date: September 26, 2016
★ Session Description ★
ARM mbed OS is an open source embedded operating system designed
specifically for the “things” in the Internet of Things. It includes all the features you need to develop a connected product based on very small memory footprint ARM Cortex-M microcontrollers, including security,connectivity, an RTOS, and drivers for sensors and I/O devices. You can start developing with mbed OS 5.1.0 today using a choice of 40 different development boards from 11 different providers and a wide choice of toolchains including a complete command line build management and configuration tool mbed CLI, industry standard desktop IDEs or ARM’s free online IDE.
★ Resources ★
Etherpad: pad.linaro.org/p/las16-112
Presentations & Videos: http://connect.linaro.org/resource/las16/las16-112/
★ Event Details ★
Linaro Connect Las Vegas 2016 – #LAS16
September 26-30, 2016
http://www.linaro.org
http://connect.linaro.org
Tutorial of LinkIt 7697 IoT dev board, including Arduino IDE setup, BlocklyDuino GUI, Mediatel Cloud Sandbox and how to interact throught BLE (App Inventor).
LinkIt 7697物聯網開發板教學,包含Arduino IDE、BlocklyDuino圖形化介面、MCS雲服務以及使用 App Inventor 進行 BLE 互動.
Power by CAVEDU Education http://www.cavedu.com;
App Inventor TW http://www.appinventor.tw
SDN x Cloud Native Meetup #38
介紹 VSCode Remote Development 工具,示範如何透過 VSCode Development Container 來打造跨語言的容器式開發環境,包括 Java、Python、Node.js、Go 等程式語言都能夠使用此方式來開發系統,並且一個專案一個容器,不會污染本機環境,可以安心地執行程式開發工作。
專題的動機來自於: 教室無空氣通風換氣設計,儘管老師很努力教學,可能因為同學人數眾多,CO2濃度過高,造成學習成效打折,因此希望有便宜的偵測裝置,來提醒老師和同學開門窗,解決非智力和意志力的障礙。
The main target is to use Embeded uC to do analog input Voltage conversion to digital value (may include linearization and temperature compensation) and then send out digital CO2 concentration value through Bluetooth/Wifi module (using UART) to Raspberry Pi2 board.
Since PM2.5 sensor and LPG sensors are also easy to be integrated into the same CO2 detector, so they were also adopted for extended values of this detector. To save power, PM2.5 detector could be designed to use very small power by using duty cycle control, and this happen to add a little bit more complexity on the practice of programming the Cortex-M.
嵌入式智慧應用開源軟硬整合新趨勢 (Open Source Software and Hardware Integration Trend for Emb...William Liang
本投影片闡述智慧應用的發展趨勢及開放源碼與開放平台扮演的角色與重要性。
發表於:嵌入式智慧應用開源軟硬整合新趨勢 (Open Source Software and Hardware Integration Trend for Embedded Smart Applications), in Intel 2015 嵌入式應用論壇, hosted by Digitimes@台北維多麗亞酒店大宴會廳 on 2015/03/24.
The presentation to introduce the Hands-on workshop we ran at Elektor Live! A chance for everyone to experiment with all sorts of interesting hardware.
LAS16-112: mbed OS Technical Overview
Speakers: Sam Grove
Date: September 26, 2016
★ Session Description ★
ARM mbed OS is an open source embedded operating system designed
specifically for the “things” in the Internet of Things. It includes all the features you need to develop a connected product based on very small memory footprint ARM Cortex-M microcontrollers, including security,connectivity, an RTOS, and drivers for sensors and I/O devices. You can start developing with mbed OS 5.1.0 today using a choice of 40 different development boards from 11 different providers and a wide choice of toolchains including a complete command line build management and configuration tool mbed CLI, industry standard desktop IDEs or ARM’s free online IDE.
★ Resources ★
Etherpad: pad.linaro.org/p/las16-112
Presentations & Videos: http://connect.linaro.org/resource/las16/las16-112/
★ Event Details ★
Linaro Connect Las Vegas 2016 – #LAS16
September 26-30, 2016
http://www.linaro.org
http://connect.linaro.org
AI邊緣運算實作: TensorFlow Lite for MCU
https://bit.ly/3j2fIIt
[1]python程式設計
https://bit.ly/359cz4m
[2]AI機器學習&深度學習
http://bit.ly/2KDZZz4
[3]TensorFlow Lite for MCU
https://bit.ly/3j2fIIt
Tiny ML for spark Fun Edge
https://www.ittraining.com.tw/ittraining/it-elearning/el-ai/ai-tensorflow-lite-for-mcu
TensorFlow Lite for MCU正是專為邊緣裝置設計的TensorFlow模型預測框架,是TensorFlow的精簡版本,讓開發者可以在物聯網與嵌入式裝置中部署微型機器學習模型。 本課程將教授AI模型如何佈署於微控制器,包含模型訓練、模型最佳化以及TensorFlow Lite框架的程式開發等。此外,在實作上以Sparkfun edge board (ARM cortex M4)為例,說明如何以TensorFlow Lite 進行微控制器上面的人工智慧開發專案,包含人臉偵測、關鍵字的字詞偵測、姿態識別、異常偵測等。
https://youtu.be/RHvROP94qZ0
AI邊緣運算實作: TensorFlow Lite for MCU
https://bit.ly/3j2fIIt
[1]python程式設計
https://bit.ly/359cz4m
[2]AI機器學習&深度學習
http://bit.ly/2KDZZz4
[3]TensorFlow Lite for MCU
https://bit.ly/3j2fIIt